Your daily business will involve

  • You take an active part in developing machine learning approaches to determine and predict the state of health of li-ion batteries 
  • You analyze datasets 
  • You investigate different possibilities of data preprocessing as an input for the machine learning model 
  • You train different model architectures in combination with different preprocessing steps and contribute to the analysis of results 

Your profile

  • Student from the field of computer science or engineering 
  • Prior knowledge in battery technology desirable 
  • Experience in Python 
  • Experience in training machine learning models 
  • Strong communication skills in English 
  • Fast and flexible work style


  • Competitive salary
  • Flexible working hours and Homeoffice
  • Strong team culture with regular team events and off-sites
  • Modern office in Munich with free parking spaces
  • Free breakfast, snacks and coffee; subsidized lunch in a high quality canteen (vegetarian options available)
  • Support with visa application

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